319 citations · 656 across the 32 of their papers we have counts for
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cs.IR2023
Limits of Predictability in Top-N Recommendation
En Xu, Zhiwen Yu, Ying Zhang +2
Top-N recommendation aims to recommend each consumer a small set of N items from a large collection of items, and its accuracy is one of the most common indexes to evaluate the per…
cs.IR2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Jing Du, Zesheng Ye, Lina Yao +2
Recent sequential recommendation models rely increasingly on consecutive short-term user-item interaction sequences to model user interests. These approaches have, however, raised…
cs.IR2021
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Nuo Li, Bin Guo, Yan Liu +3
Questions in Community Question Answering (CQA) sites are recommended to users, mainly based on users' interest extracted from questions that users have answered or have asked. How…